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利用中西部野生大麻 (Cannabis sativa) 的数字化发生记录,开发生态利基模型

Tori Ford¹, Ademola Aina², Shelby Ellison²

¹USDA-Agricultural Research Service, Plant Genetic Resources Unit Geneva New York USA.

Ecology and evolution

|July 15, 2024

概括

中西部野生大麻 (Cannabis sativa) 种群的了解很少. 生态利基模型预测适合息地的扩张,确定用于生殖质收集的关键区域,以帮助保护和繁殖工作.

科学领域:

农业科学农业科学
植物学植物学
保护生物学保护生物学

背景情况:

大麻 (Cannabis sativa L.) 在全球具有历史性的农业意义.
野生种群是作物改进和适应的关键遗传资源.
美国中西部野生大麻种群的研究不足.

研究的目的:

描述野生大麻种群的非生物耐受性.
使用生态利基模型 (ENM) 估计合适的息地.
确定易受气候驱动性息地变化的地区,以保护生殖质.

主要方法:

使用Maxent算法构建的生态利基模型 (ENM).
模型性能和外推风险通过验证指标和以流动性为导向的平价 (MOP) 进行评估.
根据当前和未来的气候场景 (2021-2040年,2061-2080年) 预测的息地适宜性.

主要成果:

预计气候变化将扩大野生大麻的适合息地.
确定了印第安纳州,伊利诺伊州,堪萨斯州,密苏里州和内布拉斯加州的胚胎血收集优先区域.
ENM有效地描述了野生大麻种群及其生态.

结论:

野生大麻胚胎是野生大麻胚胎保护和繁殖的宝贵工具.
未来的研究应该关注中西部野生动物种群的遗传多样性和适应性.
保护工作应考虑气候变化下适合息地的预测扩张.

关键词:

气候气候气候气候气候气候气候气候气候生态利基建模生态利基建模野生大麻是一种野生大麻.胚胎细胞质的胚胎细胞质.

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